trailsearch-mcp
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@trailsearch-mcpsearch the web for self-hosted AI gateway providers"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
trailsearch-mcp
MCP server dla self-hostowanego TrailSearch / open-tavily (jianjungki/tavily-open) — API kompatybilne z Tavily, oparte o SearXNG.
Gotowe MCP (tavily-ai/tavily-mcp, kshern/mcp-tavily) hardkodują
https://api.tavily.com i nie obsługują własnego base URL — ten pakiet
wskazuje na Twoją instancję.
Narzędzia
Narzędzie MCP | Endpoint open-tavily |
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Related MCP server: Tavily Web Search MCP Server
Uruchomienie (self-healing, jak fetch/searxng)
Pakiet jest instalowany na żądanie z GitHub przez uvx — żaden lokalny
plik nie musi przetrwać:
TAVILY_BASE_URL=http://192.168.1.134:3000 \
uvx --from git+https://github.com/marcinkuk/trailsearch-mcp.git trailsearch-mcpKonfiguracja w agent-canvas (mcp_config)
"trailsearch": {
"command": "uvx",
"args": [
"--from",
"git+https://github.com/marcinkuk/trailsearch-mcp.git",
"trailsearch-mcp"
],
"env": { "TAVILY_BASE_URL": "http://192.168.1.134:3000" },
"enabled": true
}Po zmianie/nowym starcie konwersacji agent dostaje trailsearch_search /
trailsearch_extract.
Wymagania: uvx (uv) w obrazie agenta oraz internet (git clone na żądanie).
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
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- AlicenseBqualityDmaintenanceThe URL-Context-MCP MCP Server provides a tool to analyze and summarize the content of URLs using Google Gemini's URL Context capability via the Gemini API. Now also supports optional grounding with Google Search alongside URL Context. The server is designed to follow prompt-only orchestration: con2167MIT
- FlicenseAqualityDmaintenanceEnables web search capabilities through the Tavily API and serves as a demonstration platform for building custom MCP tools. Designed for educational purposes to showcase MCP server development and LangGraph integration.6
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